GT2FC: An Online Growing Interval Type-2 Self-Learning Fuzzy Classifier

Abstract

In this paper, we propose a Growing Type-2 Fuzzy Classifier (GT2FC) for online rule learning from real-time data streams. While in batch rule learning, the training data are assumed to be drawn from a stationary distribution, in online rule learning, data can dynamically change over time becoming potentially nonstationary. To accommodate dynamic change… (More)
DOI: 10.1109/TFUZZ.2013.2279554

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